Advanced Gage Repeatability and Reproducibility Training
This advanced gage repeatability and reproducibility training is an intensive workshop on everything you need to know to implement an effective Gage R&R for your measurement system. You’ll be doing, not watching, as we work through 11 measurement systems from DuPont, Corning Inc., Restek, NuSil Silicones, Goodyear Tire, NRG Systems, Harley Davidson, Dow Chemical and more.
“Understanding your measurement variation is the most important first step in any process project. This course begins by developing a thorough understanding of how the standard Gage R&R study works. But your implementation won’t be that easy. Discover how to work with destructive tests, multiple gages, non-normal responses, round robin testing, mixed operators and visual inspection measurements in this advanced training session.”
Lou Johnson
JMC Data Experts Inc
Gage R & R – Beyond the Standard Study
You’ll learn 9 key tools to insure the success of your next study!
Complete understanding of a Standard Gage R&R as a foundation
Attribute Agreement Analysis for visual inspection measurements
Gage Run Chart to communicate the results of your study
Fixed Variables for round robin measurement comparisons
Operator-by-Part Matrix Summary
Nesting Alternatives for destructive tests
Expanded Gage R & R for multiple gages and locations
Sampling Plans for each type of study. (10 Parts x 3 Oper x 2 is a poor plan!)
Percent Process Variation and Probability of Misclassification
A Quality Experience
The main sessions are led by Malin Reiten with biomedical specialization taught by Noah Johnson with JMC, San Francisco, CA.
Malin and Noah train and coach engineers, technicians and scientists from major companies (Tinfos, Intuitive Surgical, Mallinckrodt, UCSF) across the US.
This workshop is about getting one-on-one attention to solve the measurement system analysis problem in your facility. Participant examples are encouraged!
This is an interactive hands-on training where you will be doing, not watching as we work through 11 measurement systems from recent consulting work.
San Francisco, CA
MicroTek
655 Montgomery St
San Francisco, CA 94111
Friday, April 27, 2018
Clear this date on your calendar. This is the only date offered for this training until late 2018.
Peers
Participants include other engineers, technicians and scientists providing a great networking opportunity.
Investment
General attendance is offered at $325 per person. For group rates, call for pricing. (Lunch, datasets and manuals included)
Contact
Noah Johnson
(878) 999-4627
noah@jmcdataexperts.com
Exclusive
In addition to the workshop, there are three personal 1:1 sessions available with Noah.
One Day of Full Focus
One day of advanced training and you will be able to effectively quantify your measurement variability, separate it from the process and determine where it is coming from, regardless of the roadblocks in your system.
“You can tell the trainer is passionate about his work and it rubs off on the class. One of the best training facilitators I have had the pleasure to work with.”
“The training uses a good communication model. Theory, practice then work an exercise on our own and review. We did this for each major chapter and it worked really well. Kept my interest!”
“I learned to work through the problems with my Gage R & R. Now everyone at works calls on me for help!”
“ Great class! I can’t wait to sign up for the next topic.”
Meet Your Workshop Experts
To review the class agenda, discuss group rates or reserve your spot, connect with us to ensure this training is the right fit to help you achieve the results you are looking for.
Malin Reiten
Malin’s long and diverse career spans 20 years and positions from Quality Manager to Process Improvement Engineer to Six Sigma Deployment Champion. Her data-based approach to business decisions and project management has lead to the completion of more than a dozen process improvement projects with over a million dollar ROI. She now seeks to increase her impact on US manufacturing tenfold by sharing her skills with others so that they can be equally successful. Malin specializes in chemical and pharmaceutical manufacturing, but is equally comfortable in all industries. Malin holds a cand.scient degree (MS equivalent) in Mathematics / Chemistry from the University of Bergen, Bergen, Norway as well as a MA in Statistics from the University of Missouri – St Louis.
